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Interactions of tumour-derived micro(nano)vesicles with human gastric cancer cells

Overview of attention for article published in Journal of Translational Medicine, December 2015
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Title
Interactions of tumour-derived micro(nano)vesicles with human gastric cancer cells
Published in
Journal of Translational Medicine, December 2015
DOI 10.1186/s12967-015-0737-0
Pubmed ID
Authors

Małgorzata Stec, Rafał Szatanek, Monika Baj-Krzyworzeka, Jarosław Baran, Maria Zembala, Jakub Barbasz, Agnieszka Waligórska, Jurek W. Dobrucki, Bożenna Mytar, Antoni Szczepanik, Maciej Siedlar, Grażyna Drabik, Barbara Urbanowicz, Marek Zembala

Abstract

Tumour cells release membrane micro(nano)fragments called tumour-derived microvesicles (TMV) that are believed to play an important role in cancer progression. TMV suppress/modify antitumour response of the host, but there is also some evidence for their direct interaction with cancer cells. In cancer patients TMV are present in body fluid and tumour microenvironment. The present study aimed at characterization of whole types/subpopulations, but not only exosomes, of TMV from newly established gastric cancer cell line (called GC1415) and to define their interactions with autologous cells. TMV were isolated from cell cultures supernatants by centrifugation at 50,000×g and their phenotype was determined by flow cytometry. The size of TMV was analysed by dynamic light scattering and nanoparticle tracking analysis, while morphology by transmission electron microscopy and atomic force microscopy. Interactions of TMV with cancer cells were visualized using fluorescence-activated cell sorter, confocal and atomic force microscopy, biological effects by xenografts in NOD SCID mice. Isolated TMV showed expression of CD44H, CD44v6 (hyaluronian receptors), CCR6 (chemokine receptor) and HER-2/neu molecules, exhibited different shapes and sizes (range 60-900 nm, highest frequency of particles with size range of 80-120 nm). TMV attached to autologous cancer cells within 2 h and then were internalized by them at 24 h. CD44H, CD44v6 and CCR6 molecules may play a role in attachment of TMV to cancer cells, while HER-2 associated with CD24 be involved in promoting cancer cells growth. Pre-exposure of cancer cells to TMV resulted in enhancement of tumour growth and cancer cell-induced angiogenesis in NOD SCID mice model. TMV interact directly with cancer cells serving as macro-messengers and molecular cargo transfer between gastric cancer cells resulting in enhancement of tumour growth. TMV should be considered in future as target of anticancer therapy.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 9 16%
Student > Bachelor 7 12%
Professor > Associate Professor 6 10%
Student > Doctoral Student 4 7%
Other 12 21%
Unknown 10 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 28%
Medicine and Dentistry 12 21%
Agricultural and Biological Sciences 5 9%
Immunology and Microbiology 2 3%
Neuroscience 2 3%
Other 8 14%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2016.
All research outputs
#14,829,358
of 22,834,308 outputs
Outputs from Journal of Translational Medicine
#1,975
of 3,995 outputs
Outputs of similar age
#215,424
of 387,568 outputs
Outputs of similar age from Journal of Translational Medicine
#37
of 73 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 387,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.